Associate Vice President, Data Science and Analytics,
Tasks
- Build community of practice and coach leaders and ICs
- Define and prioritize predictive models and AI ML backlog
- Deliver common reporting and monitoring pipelines
- Develop data products and feature stores
- Establish interfaces and RACI escalation protocol
- Implement MLOps and responsible AI
- Integrate interoperability strategy for data products
- Lead data and analytics central team
- Maintain data catalog and KPI dictionary
- Own data governance standards and playbook
- Partner on unified data and platform strategy
- Stand up data request intake triage and prioritization
- Upskill teams with reusable data assets
Perks/Benefits
- 401k retirement savings plan
- Caregiver leave
- Life insurance
- Long-term disability
- Medical, dental, and vision coverage
- Paid parental leave
- Paid time off
- Short-term disability
- Volunteer time off
Skills/Tech-stack
Access Controls | Business Intelligence | Classification | Cloud Data | Cloud Data Platforms | Data Catalog | Data Governance | Data Lineage | Data Products | Data Quality | Data Stewardship | Data platforms | Documentation | Documentation support | Enterprise Data | Enterprise Data Products | Explainability | FHIR | Fairness | HIPAA | HL7 | Interoperability | KPI Dictionary | Language Processing | MLOps | Machine Learning | Model Development | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Phi | Predictive Model Development | Predictive Modeling | Privacy | Production Machine Learning | RACI | Responsible AI | Risk Management | Self-Service | Self-service analytics | Service analytics | Training & Enablement
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